Field-of-View Extension in Dental Cone-Beam CT via Implicit Neural Representations and Diffusion Model-Based Refinement
A three-stage framework that consists of an implicit neural representation (INR) for estimating missing parts of the truncated projection data, an iterative reconstruction for generating a secondary volumetric image with improved anatomical consistency and a fast diffusion model for image enhancement is proposed.